Evaluating Self-Directed Rehabilitation for Knee and Hip Arthroplasty During the COVID-19 Pandemic: A Multicenter Study.

The COVID-19 pandemic has triggered the adoption of new technologies to reduce the need for in-person physical therapy (PT). This study evaluated the impact of the COVID-19 pandemic on PT utilization and outcomes of patients prescribed a smartphone-based care management platform (sbCMP) for self-directed rehabilitation (SDR). A secondary analysis of data collected in a multicenter, prospective cohort trial investigating a mobile platform to deliver SDR after arthroplasty was performed.

Machine learning model identifies patient gait speed throughout the episode of care, generating notifications for clinician evaluation.

Introduction: The advent of digital and mobile health innovations, especially use of wearables for passive data collection, allows remote monitoring and creates an abundance of data. For this information to be interpretable, machine learning (ML) processes are necessary.

Research Question: Can a machine learning model successfully identify patients expected to have low gait speed in the early recovery period following joint replacement surgery?

Methods: A commercial database from a smartphone-based care management platform passively collecting mobility data pre- and post-lower limb arthroplasty was used.

Impact of Chronic Opioid Use on Postoperative Mobility Recovery and Patient-Reported Outcomes: A Propensity-Matched Study.

Background: Opioid use prior to total joint arthroplasty may be associated with poorer postoperative outcomes. However, few studies have reported the impact on postoperative recovery of mobility. We hypothesized that chronic opioid users would demonstrate impaired objective and subjective mobility recovery compared to nonusers.

Is There a Change in Anxiety and Depression Following Total Knee Arthroplasty?

Background: The primary purpose of this study was to investigate whether anxiety and depression change following total knee arthroplasty (TKA). A secondary objective was to explore the association between preoperative variables and changes in anxiety and depression.

Methods: This was a prospective, multicenter, cohort study.

Completion of Patient-Reported Outcome Measures Improved With Use of a Mobile Application in Arthroplasty Patients: Results From a Randomized Controlled Trial.

Background: The collection of patient-reported outcome measures (PROMs) has historically been reported as costly and time-consuming, with low compliance rates that may impact reimbursement. Little research has reported the effects of mobile applications to support PROMs collection following arthroplasty.

Methods: Secondary analysis of data from a multicenter randomized controlled trial was performed.